Isotropic and anisotropic kriging approaches for interpolating surface-level wind speeds across large, geographically diverse regions
| Autor: | Carol J. Friedland, T. Andrew Joyner, Carol Massarra, Robert V. Rohli, Anna M. Treviño, Shubharoop Ghosh, Charles Huyck, Mark Weatherhead |
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| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: | |
| Zdroj: | Geomatics, Natural Hazards & Risk, Vol 8, Iss 2, Pp 207-224 (2017) |
| Druh dokumentu: | article |
| ISSN: | 1947-5705 1947-5713 19475705 |
| DOI: | 10.1080/19475705.2016.1185749 |
| Popis: | Windstorms result in significant damage and economic loss and are a major recurring threat in many countries. Estimating surface-level wind speeds resulting from windstorms is a complicated problem, but geostatistical spatial interpolation methods present a potential solution. Maximum sustained and peak gust weather station data from two historic windstorms in Europe were analyzed to predict surface-level wind speed surfaces across a large and topographically varied landscape. Disjunctively sampled maximum sustained wind speeds were adjusted to represent equivalent continuously sampled 10-minute wind speeds and missing peak gust station data were estimated by applying a gust factor to the recorded maximum sustained wind speeds. Wind surfaces were estimated based on anisotropic and isotropic kriging interpolation methodologies. The study found that anisotropic kriging is well-suited for interpolating wind speeds in meso- and macro-scale areas because it accounts for wind direction and trends in wind speeds across a large, heterogeneous surface, and resulted in interpolation surface improvement in most models evaluated. Statistical testing of interpolation error for stations stratified by geographic classification revealed that stations in coastal and/or mountainous locations had significantly higher prediction errors when compared with stations in non-coastal/non-mountainous locations. These results may assist in mitigating losses to structures due to excessive wind events. |
| Databáze: | Directory of Open Access Journals |
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